AIMC Topic: Male

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An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 3, 2018
Automated Gleason grading is an important preliminary step for quantitative histopathological feature extraction. Different from the traditional task of classifying small pre-selected homogeneous regions, semantic segmentation provides pixel-wise Gle...
Humans Algorithms Prostate Supervised Machine Learning Prostatectomy Male Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms
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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

Scientific reports Sep 3, 2018
The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled...
Female Aged Adult Male Middle Aged Humans Neural Networks, Computer Algorithms Retrospective Studies Spine Supervised Machine Learning Image Interpretation, Computer-Assisted Spondylitis Tuberculosis, Osteoarticular ROC Curve Magnetic Resonance Imaging Diagnosis, Differential Area Under Curve
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A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia.

Journal of neuroscience methods Sep 2, 2018
BACKGROUND: Technological advances are enabling us to collect multimodal datasets at an increasing depth and resolution while with decreasing labors. Understanding complex interactions among multimodal datasets, however, is challenging.
Algorithms Computer Simulation Female Male Adult Humans ROC Curve Machine Learning Schizophrenia Neuroimaging Multivariate Analysis
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Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

Neurology Aug 31, 2018
OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on pusher behavior compared to nonrobotic physiotherapy (nR-PT).
Follow-Up Studies Posture Cerebral Hemorrhage Robotics Single-Blind Method Gait Brain Ischemia Therapy, Computer-Assisted Stroke Rehabilitation Female Aged Male Severity of Illness Index Treatment Outcome Humans Perceptual Disorders
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Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Computers in biology and medicine Aug 31, 2018
Hospital readmission is one of the critical metrics used for measuring the performance of hospitals. The HITECH Act imposes penalties when patients are readmitted to hospitals if they are diagnosed with one of the six conditions mentioned in the Act....
Predictive Value of Tests Lupus Erythematosus, Systemic Models, Biological Patient Readmission Neural Networks, Computer Female Male Deep Learning Humans
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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.

PloS one Aug 31, 2018
Prognostic modelling is important in clinical practice and epidemiology for patient management and research. Electronic health records (EHR) provide large quantities of data for such models, but conventional epidemiological approaches require signifi...
Male Middle Aged Female Data Interpretation, Statistical Humans Aged Diagnosis, Computer-Assisted Coronary Artery Disease Machine Learning Aged, 80 and over Cohort Studies Models, Biological Prognosis Adult Survival Analysis Electronic Health Records
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Decision Support System for Seizure Onset Zone Localization Based on Channel Ranking and High-Frequency EEG Activity.

IEEE journal of biomedical and health informatics Aug 30, 2018
Interictal high-frequency oscillations (HFO) are a promising biomarker that can help define the seizure onset zone (SOZ) and predict the surgical outcome after the epilepsy surgery. The utility of HFO in planning the surgery, though, is unclear. Reas...
Humans Seizures Adolescent Female Signal Processing, Computer-Assisted ROC Curve Young Adult Decision Support Systems, Clinical Electrocorticography Adult Support Vector Machine Male Epilepsy
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Diagnostic performance of real-time robotic arm-assisted F-FDG PET/CT-guided percutaneous biopsy in metabolically active abdominal and pelvic lesions.

European journal of nuclear medicine and molecular imaging Aug 30, 2018
PURPOSE: To evaluate the feasibility and diagnostic performance of F-FDG PET/CT-guided biopsy of abdominal and pelvic lesions with automated robotic arm (ARA) assistance.
Feasibility Studies Fluorodeoxyglucose F18 Image-Guided Biopsy Male Middle Aged Adolescent Time Factors Abdomen Robotics Positron Emission Tomography Computed Tomography Pelvis Skin Aged Aged, 80 and over Young Adult Adult Humans Female
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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

European radiology Aug 30, 2018
OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for discriminating low and high nuclear grade clear cell renal cell carcinomas (cc-RCCs).
Carcinoma, Renal Cell Nephrectomy Retrospective Studies Adult Tomography, X-Ray Computed Male Humans Diagnosis, Differential Female Middle Aged Machine Learning Bayes Theorem Reproducibility of Results Support Vector Machine Algorithms Biopsy Aged Data Collection Kidney Neoplasms
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Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Aug 30, 2018
Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows synthesizing pelvis pseudo-CT maps based only on the standard Dixon volumetric...
Tomography, X-Ray Computed Aged Aged, 80 and over Adult Male Humans Multimodal Imaging Prostatic Neoplasms Positron-Emission Tomography Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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